Coursera – Generative AI Engineering with LLMs Specialization 2024-9
Coursera – Generative AI Engineering with LLMs Specialization 2024-9
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Generative AI Engineering with LLMs Specialization is a course that provides a deep understanding of how to build, fine-tune, and deploy large language models (LLMs) for various AI applications, published by Udemy Online Academy. The course covers the fundamentals of generative AI, an overview of advanced model architectures, training techniques, and optimization strategies. Participants will explore real-world use cases such as text generation, summarization, and conversational AI, while gaining hands-on experience using frameworks such as PyTorch and TensorFlow. This specialization emphasizes ethical considerations, scalability challenges, and integrating LLMs into product pipelines, making it ideal for aspiring AI engineers, data scientists, and developers.
During this program, you will develop the skills to build applications using pre-trained frameworks and models such as BERT, GPT, and LLaMA. You will use the Hugging Face transformer library, the PyTorch deep learning library, the RAG framework, and LangChain to develop and deploy LLM NLP-based applications. Additionally, you will explore tokenization, data loaders, language models and embedding, transformer techniques, attention mechanisms, and rapid engineering. In the final course, you will complete a Capstone Project, applying what you have learned to create a question-answering bot through a series of hands-on labs.
What you will learn in Generative AI Engineering with LLMs Specialization :
- In-demand and ready-to-use skills in AI generation, NLP programs, and large language models
- How to tokenize and load text data to train LLMs and deploy Skip-Gram, CBOW, Seq2Seq, RNN-based, and Transformer models with PyTorch
- How to use frameworks and pre-trained models like LangChain and Llama to train, develop, fine-tune, and deploy LLM programs
- How to implement an NLP question-and-answer system by provisioning, developing, and deploying NLP programs using RAG
- And…
Course specifications
Publisher: Coursera
Instructors: Sina Nazeri, Fateme Akbari, Wojciech ‘Victor’ Fulmyk, Kang Wang, Ashutosh Sagar, Joseph Santarcangelo and Roodra Pratap Kanwar
Language: English
Level: Intermediate
Number of Lessons: 77
Duration: 7 hours and 48 minutes
Course topics
Generative AI Engineering with LLMs Specialization Prerequisites
None
Pictures
Generative AI Engineering with LLMs Specialization introduction video
Installation guide
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English subtitle
Quality: 720p
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Size
1 GB
